{"id":"W4234702069","doi":"10.5539/mas.v10n4p200","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 10, No. 4","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Engineering ethics; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01871054,0.001917427,0.003412974,0.006193154,0.00386398,0.006500619,0.004944365,0.009617507,0.1579108],"category_scores_gemma":[0.2255495,0.001005431,0.002533665,0.002750221,0.001909115,0.005641828,0.003130913,0.008277009,0.09645333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004275027,"about_ca_system_score_gemma":0.008523903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004207856,"about_ca_topic_score_gemma":0.007665976,"domain_scores_codex":[0.9819452,0.002820745,0.002764149,0.001190435,0.01043464,0.0008447017],"domain_scores_gemma":[0.4762841,0.01634959,0.00599938,0.004703655,0.4876639,0.008999444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009115729,0.000001618125,0.00002431403,0.00009961483,0.000002232149,0.00002684118,0.00001506391,0.000003944226,0.00002499379,0.0001001037,0.9971018,0.002590171],"study_design_scores_gemma":[0.00004442728,0.00001452422,0.0003116588,0.0005786515,0.00002349191,0.000248084,0.000157844,0.0001253627,0.0001785744,0.0009210617,0.9973534,0.0000428818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001060807,0.001810429,0.001200763,0.1332148,0.8558756,0.0003217568,0.0005859505,0.0005395316,0.006345071],"genre_scores_gemma":[0.005203644,0.006247685,0.004238616,0.1691274,0.5707765,0.001799179,0.002396823,0.002280752,0.2379294],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1579108,"threshold_uncertainty_score":0.5282642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473012577068208,"score_gpt":0.2769226224532517,"score_spread":0.2621924966825696,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}